Computational Biologist

Job Title:Computational Biologist

Location:Cambridge (Hybrid)

Join an early-stage startup at the intersection of code and biology, where DNA is the design language and synthesis is the platform.

Their mission is to accelerate the design and synthesis of DNA – enabling researchers, developers, and engineers to treat biology as a programmable system. They are building a platform to streamline sequence design, optimise gene constructs, and scale high-throughput synthesis.

The work sits at the intersection of machine learning, biological design, and molecular engineering.

About the Role

You’ll join a multidisciplinary team of scientists and engineers, contributing to the development of core algorithms, models, and tools that underpin technology.

What’s on offer

• £65,000 - £80,000 base salary DOE
• Access to cutting-edge tools, datasets, and experimental infrastructure
• Budget for conferences, training, and professional development
• A collaborative, science-driven culture with direct impact on product and platform direction

Your Responsibilities

• Develop and implement algorithms for sequence optimisation, codon usage, secondary structure prediction, and synthesis constraint resolution
• Build and maintain scalable pipelines for gene design and validation
• Analyse experimental results to refine computational models and improve design outcomes
• Collaborate closely with molecular biologists to integrate design and testing workflows
• Contribute to the development of internal tools, data infrastructure, and documentation

What you bring:

• Advanced degree (PhD or equivalent experience) in Computational Biology, Bioinformatics, Genomics, or related field
• Strong programming skills (Python preferred) and experience with scientific computing libraries
• Solid understanding of molecular biology, gene expression systems, and synthetic construct design
• Familiarity with genome-scale data, biological sequence analysis, or protein-coding gene optimisation
• Experience working in cross-functional teams and navigating the fast pace of early-stage R&D

Desirable (not essential):

• Experience with ML/AI in biological design
• Exposure to wet-lab workflows or automation platforms
• Contributions to open-source bioinformatics or synthetic biology tools

Please apply with a copy of your CV -